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- Tasks: Lead the development of cutting-edge AI solutions and mentor a team of engineers.
- Company: A top global life science tools company with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of AI in life sciences.
- Qualifications: Strong Python skills and experience in ML and Generative AI required.
- Other info: Collaborative environment with a commitment to ethical AI practices.
The predicted salary is between 36000 - 60000 £ per year.
A leading global life science tools company is seeking an AI Engineering Lead to spearhead the development and deployment of advanced AI solutions. This role involves close collaboration with senior leadership and requires hands-on technical expertise in ML and Generative AI.
The ideal candidate will be responsible for managing AI projects while mentoring a team of engineers, ensuring alignment with company objectives and ethical guidelines. Strong proficiency in Python and experience with AI technologies are essential.
AI Engineering Lead — Hands-On ML/GenAI & Delivery employer: LGC
Contact Detail:
LGC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineering Lead — Hands-On ML/GenAI & Delivery
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your hands-on projects in ML and Generative AI. This will not only demonstrate your technical expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those interviews! Research the company’s recent projects and be ready to discuss how your experience aligns with their goals. We want to see you shine, so practice common interview questions and think about how you can contribute to their AI initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who are eager to lead and innovate in the AI space.
We think you need these skills to ace AI Engineering Lead — Hands-On ML/GenAI & Delivery
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your hands-on experience with ML and Generative AI in your application. We want to see how your technical expertise aligns with the role, so don’t hold back on showcasing your Python proficiency!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your past experiences relate to managing AI projects and mentoring teams, as this will show us you’re the perfect fit for our collaborative environment.
Be Authentic: We love genuine candidates! Let your personality shine through in your written application. Share your passion for AI and how you envision contributing to our mission in the life sciences sector.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at LGC
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning and generative AI. Be ready to discuss specific projects you've worked on, the technologies you used, and the outcomes. This role is all about hands-on expertise, so show them you know your Python inside out!
✨Show Your Leadership Skills
Since this position involves mentoring a team, be prepared to share examples of how you've led projects or guided junior engineers in the past. Highlight your ability to align team efforts with company objectives and ethical guidelines, as this will resonate well with their values.
✨Prepare for Technical Questions
Expect some deep technical questions during the interview. Brush up on algorithms, data structures, and any relevant AI frameworks. Practising coding problems in Python can also help you feel more confident when tackling these questions.
✨Align with Company Values
Research the company's mission and values, especially around ethical AI practices. Be ready to discuss how you can contribute to these goals and ensure that your AI solutions are not only effective but also responsible. This shows that you're not just technically skilled but also a good cultural fit.